Abdul Azis, Muhammad Rizal, Emidiana Emidiana, Irine Kartika Pebrianti, M. Saleh Al Amin, Nita Nurdiana, Perawati Perawati, Yudi Irwansi
Load imbalance in an electric power distribution system always occurs and the cause of this imbalance is unbalanced single-phase loads on low voltage network customers. As a result of this load imbalance, a current arises in the neutral of the transformer, which can cause power losses. The aim of the research is to analyse the load imbalance of the Distribution Transformer PC0044, PC0074, PC0088, PC0129, PC1319 on the Tarakan Feeder of PT PLN (Persero) Sukarami Customer Service Unit. The results of the research show that the highest peak load percentage occurs on the PC1319 Distribution Transformer, namely 93.0874%, and based on PLN ED Decree No. 0017.E/DIR/2014, transformer loading. The largest percentage of load imbalance occurs in the PC0044 Distribution Transformer, namely 38.0952%, and based on PLN ED Decree No. 0017.E/DIR/2014, the current imbalance between phases is included in the bad category because the load imbalance is ≥ 25%. The largest percentage of power losses due to neutral current in the transformer neutral conductor occurs in the PC0044 Distribution Transformer, namely 2.6737%, and based on PLN ED Decree No. 0017.E/DIR/2014, the neutral current TR is included in the good category because the power losses due to the neutral current in the transformer neutral conductor are <10%. The largest percentage of power losses due to neutral current flowing to the ground occurs in the PC0044 Distribution Transformer, namely 5.0784%.
{"title":"Analysis of Load Imbalance in Tarakan Distribution Transformer of PT PLN (Persero) Sukarami Customer Service Unit","authors":"Abdul Azis, Muhammad Rizal, Emidiana Emidiana, Irine Kartika Pebrianti, M. Saleh Al Amin, Nita Nurdiana, Perawati Perawati, Yudi Irwansi","doi":"10.47191/etj/v9i05.12","DOIUrl":"https://doi.org/10.47191/etj/v9i05.12","url":null,"abstract":"Load imbalance in an electric power distribution system always occurs and the cause of this imbalance is unbalanced single-phase loads on low voltage network customers. As a result of this load imbalance, a current arises in the neutral of the transformer, which can cause power losses. The aim of the research is to analyse the load imbalance of the Distribution Transformer PC0044, PC0074, PC0088, PC0129, PC1319 on the Tarakan Feeder of PT PLN (Persero) Sukarami Customer Service Unit. The results of the research show that the highest peak load percentage occurs on the PC1319 Distribution Transformer, namely 93.0874%, and based on PLN ED Decree No. 0017.E/DIR/2014, transformer loading. The largest percentage of load imbalance occurs in the PC0044 Distribution Transformer, namely 38.0952%, and based on PLN ED Decree No. 0017.E/DIR/2014, the current imbalance between phases is included in the bad category because the load imbalance is ≥ 25%. The largest percentage of power losses due to neutral current in the transformer neutral conductor occurs in the PC0044 Distribution Transformer, namely 2.6737%, and based on PLN ED Decree No. 0017.E/DIR/2014, the neutral current TR is included in the good category because the power losses due to the neutral current in the transformer neutral conductor are <10%. The largest percentage of power losses due to neutral current flowing to the ground occurs in the PC0044 Distribution Transformer, namely 5.0784%.","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"11 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Studies have linked the use of wood fuel to deforestation leading to greenhouse gas emissions which cause climate change. Despite these concerns, some institutions located in the rural areas of Zambia like boarding schools and colleges still use firewood as a fuel for cooking and heating. Additionally, electricity, where available, is usually based on fossil fuel combustion, and often has high tariffs if connected to the national electricity grid and is also unreliable. On the other hand, biogas produced from animal and other organic wastes has demonstrated to be a cleaner alternative source of energy that can be used for cooking and supply of heat. A case of Nkumbi international college was selected to consider the economic viability of using the animal and agriculture waste from the institutional farm as a feedstock in an anaerobic co-digester to generate biogas for use as fuel for cooking to replace firewood and grid electricity, the current sources of energy for cooking. Results showed that installing a biogas system at the college and using the biogas to replace a combination of firewood and electricity is highly viable with a positive net present value of USD 19,747, a payback period of 3.1 years, and an internal rate of return of 35.5% over a period of 20 years.
{"title":"Utilization of Anaerobic Co-Digestion for Biogas Production for Institutional Cooking: A Case of Nkumbi International College","authors":"Tembo Costain, Luwaya Edwin","doi":"10.47191/etj/v9i05.11","DOIUrl":"https://doi.org/10.47191/etj/v9i05.11","url":null,"abstract":"Studies have linked the use of wood fuel to deforestation leading to greenhouse gas emissions which cause climate change. Despite these concerns, some institutions located in the rural areas of Zambia like boarding schools and colleges still use firewood as a fuel for cooking and heating. Additionally, electricity, where available, is usually based on fossil fuel combustion, and often has high tariffs if connected to the national electricity grid and is also unreliable. On the other hand, biogas produced from animal and other organic wastes has demonstrated to be a cleaner alternative source of energy that can be used for cooking and supply of heat. A case of Nkumbi international college was selected to consider the economic viability of using the animal and agriculture waste from the institutional farm as a feedstock in an anaerobic co-digester to generate biogas for use as fuel for cooking to replace firewood and grid electricity, the current sources of energy for cooking. Results showed that installing a biogas system at the college and using the biogas to replace a combination of firewood and electricity is highly viable with a positive net present value of USD 19,747, a payback period of 3.1 years, and an internal rate of return of 35.5% over a period of 20 years.","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-22DOI: 10.30684/etj.2024.146366.1680
Omar Yousif, Mahmoud Mashkour
{"title":"Parametric analysis for performance and emissions of gasoline direct injection engine using mathematical modelling","authors":"Omar Yousif, Mahmoud Mashkour","doi":"10.30684/etj.2024.146366.1680","DOIUrl":"https://doi.org/10.30684/etj.2024.146366.1680","url":null,"abstract":"","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141110266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-19DOI: 10.30684/etj.2024.146400.1681
Abdullahi S., Ejepu S.
{"title":"Utilizing remote sensing and aerogeophysical data for spatial decision support system for optimal gold mineralization site identification in North-Central Nigeria","authors":"Abdullahi S., Ejepu S.","doi":"10.30684/etj.2024.146400.1681","DOIUrl":"https://doi.org/10.30684/etj.2024.146400.1681","url":null,"abstract":"","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"40 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141123240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-19DOI: 10.30684/etj.2024.146513.1684
D. Ghulam, A. Ibrahim
Nano powder mixed electrical discharge machining (NPMEDM) is an advanced thermo-physical process. It is used to create complex, precise shapes in hard-to-machine materials, such as nickel-based alloys like Inconel 718, due to their mechanical properties. This study introduces magnetic field assistance to improve the discharge state. Nano aluminum oxide was added to biodegradable soybean oil, serving as the insulating fluid to machine Inconel 718 alloy. The study examined the impact of machining parameters, including current, pulse on time, powder concentration, and magnetic field assistance, on outcomes like white layer thickness, material removal rate, and tool wear rate. Minitab software facilitated a general full factorial multi-level design to analyze the results. Findings showed that adding nano Al 2 O 3 with a magnetic field is crucial in enhancing process performance. The lowest white layer thickness achieved was 20.59 µm, showing a 54.32% improvement. The highest material removal rate was 13.259 mm 3 /min, with an increase of 42.193%. The tool wear rate also improved; the minimum value was 0.0228 mm 3 /min, reduced by about 80.44% compared to using no powder in the dielectric fluid. Optimal settings to enhance performance were found to be a current of 8 A, pulse on time of 100 µs, powder concentration of 4 g/l, and a magnetic field intensity of 0.2 T.
纳米粉末混合放电加工（NPMEDM）是一种先进的热物理加工工艺。由于镍基合金（如铬镍铁合金 718）的机械特性，它可用于在难以加工的材料（如镍基合金 718）上加工出复杂、精确的形状。这项研究引入了磁场辅助技术来改善放电状态。纳米氧化铝被添加到可生物降解的大豆油中，作为绝缘液来加工 Inconel 718 合金。研究考察了加工参数（包括电流、脉冲开启时间、粉末浓度和磁场辅助）对白层厚度、材料去除率和刀具磨损率等结果的影响。Minitab 软件采用一般的全因子多层次设计来分析结果。研究结果表明，在磁场中添加纳米 Al 2 O 3 对提高工艺性能至关重要。实现的最低白层厚度为 20.59 µm，提高了 54.32%。最高材料去除率为 13.259 mm 3 /min，提高了 42.193%。刀具磨损率也有所改善；最小值为 0.0228 mm 3 /min，与在介电流体中不使用粉末相比，降低了约 80.44%。提高性能的最佳设置为电流 8 A、脉冲开启时间 100 µs、粉末浓度 4 g/l、磁场强度 0.2 T。
{"title":"Investigation of white layer thickness, material removal rate, and tool wear rate of Inconel 718 by nano-Al2O3-mixed electrical discharge machining","authors":"D. Ghulam, A. Ibrahim","doi":"10.30684/etj.2024.146513.1684","DOIUrl":"https://doi.org/10.30684/etj.2024.146513.1684","url":null,"abstract":"Nano powder mixed electrical discharge machining (NPMEDM) is an advanced thermo-physical process. It is used to create complex, precise shapes in hard-to-machine materials, such as nickel-based alloys like Inconel 718, due to their mechanical properties. This study introduces magnetic field assistance to improve the discharge state. Nano aluminum oxide was added to biodegradable soybean oil, serving as the insulating fluid to machine Inconel 718 alloy. The study examined the impact of machining parameters, including current, pulse on time, powder concentration, and magnetic field assistance, on outcomes like white layer thickness, material removal rate, and tool wear rate. Minitab software facilitated a general full factorial multi-level design to analyze the results. Findings showed that adding nano Al 2 O 3 with a magnetic field is crucial in enhancing process performance. The lowest white layer thickness achieved was 20.59 µm, showing a 54.32% improvement. The highest material removal rate was 13.259 mm 3 /min, with an increase of 42.193%. The tool wear rate also improved; the minimum value was 0.0228 mm 3 /min, reduced by about 80.44% compared to using no powder in the dielectric fluid. Optimal settings to enhance performance were found to be a current of 8 A, pulse on time of 100 µs, powder concentration of 4 g/l, and a magnetic field intensity of 0.2 T.","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"112 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-24DOI: 10.30684/etj.2024.147388.1709
Kather A. Naji, M. Al-Neami, Mahmood Mahmood
{"title":"Dynamic displacement of sheet pile walls adjacent to the railway track","authors":"Kather A. Naji, M. Al-Neami, Mahmood Mahmood","doi":"10.30684/etj.2024.147388.1709","DOIUrl":"https://doi.org/10.30684/etj.2024.147388.1709","url":null,"abstract":"","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"46 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140662524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-24DOI: 10.30684/etj.2024.147316.1706
N. Hussein, Zahraa Zghair, Ruqaya Hussein, Alaa Z. Hameed, Amna Abdul-Jabbar, Buthenia A. Hasoon, Hamdoon Mohammed, Ghassan Sulaiman
nanoparticles. After the successful coating of silver nanoparticles (AgNPs) with Tetracycline, the characterization of the conjugate properties was achieved through measurements with scanning electron microscopy (SEM) coupled to an energy-dispersive X-ray analyzer (EDX). The SEM analysis shows the appearance of silver nanoparticles with an average particle size of 22.82 nm and a cubic shape. Meanwhile, the EDX spectrum of silver NPs exhibits peaks corresponding to elemental silver. The anti-bacterial activity of pure Tetracycline and tetracycline-AgNP conjugates was examined against ten isolates of Pseudomonas aeruginosa. The tetracycline/AgNPs nanoparticles also strongly inhibited the growth of P. aeruginosa, as shown in experiments that involved the determination of the lowest inhibitory and lethal concentrations. It is noted that all of the isolates recorded the minimum inhibitory concentration at 60%, while the minimum inhibitory concentration for two isolates (1 and 10) was 100%. Genetically, higher frequencies of total chromosomal aberrations (TCAs) in blood cells were correlated with higher NP concentrations. The tetracycline-AgNPs effectively scavenged the 2,2-diphenyl-1-picrylhydrazyl
{"title":"Evaluation of the synergistic effects of synthesized silver nanoparticles conjugated tetracycline","authors":"N. Hussein, Zahraa Zghair, Ruqaya Hussein, Alaa Z. Hameed, Amna Abdul-Jabbar, Buthenia A. Hasoon, Hamdoon Mohammed, Ghassan Sulaiman","doi":"10.30684/etj.2024.147316.1706","DOIUrl":"https://doi.org/10.30684/etj.2024.147316.1706","url":null,"abstract":"nanoparticles. After the successful coating of silver nanoparticles (AgNPs) with Tetracycline, the characterization of the conjugate properties was achieved through measurements with scanning electron microscopy (SEM) coupled to an energy-dispersive X-ray analyzer (EDX). The SEM analysis shows the appearance of silver nanoparticles with an average particle size of 22.82 nm and a cubic shape. Meanwhile, the EDX spectrum of silver NPs exhibits peaks corresponding to elemental silver. The anti-bacterial activity of pure Tetracycline and tetracycline-AgNP conjugates was examined against ten isolates of Pseudomonas aeruginosa. The tetracycline/AgNPs nanoparticles also strongly inhibited the growth of P. aeruginosa, as shown in experiments that involved the determination of the lowest inhibitory and lethal concentrations. It is noted that all of the isolates recorded the minimum inhibitory concentration at 60%, while the minimum inhibitory concentration for two isolates (1 and 10) was 100%. Genetically, higher frequencies of total chromosomal aberrations (TCAs) in blood cells were correlated with higher NP concentrations. The tetracycline-AgNPs effectively scavenged the 2,2-diphenyl-1-picrylhydrazyl","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"4 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140663780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Corn is an agricultural product that is in great demand among farmers, because the process and care methods are not too difficult and the lifespan of corn from planting to post-harvest is 2 months. In the general production process, during shelling, many farmers still use the method of shelling using their hands or simple tools, so it requires quite a long production time. The reason people still shell them using their hands or tools is because the price of the machines is too expensive and they don't even know about corn shelling machines. The machine designed to develop a simple corn sheller for use by farmers in Merauke Regency has a capacity of ± 300 kg/hour. The impact system is used in this shelling machine to reduce the impact on the corn kernels. For this reason, in corn shelling, iron chains are used that can move elastically and flexibly.
{"title":"Design of a Corn Shelling Machine with an Elastic Collision System Using Iron Chains","authors":"","doi":"10.47191/etj/v9i04.08","DOIUrl":"https://doi.org/10.47191/etj/v9i04.08","url":null,"abstract":"Corn is an agricultural product that is in great demand among farmers, because the process and care methods are not too difficult and the lifespan of corn from planting to post-harvest is 2 months. In the general production process, during shelling, many farmers still use the method of shelling using their hands or simple tools, so it requires quite a long production time. The reason people still shell them using their hands or tools is because the price of the machines is too expensive and they don't even know about corn shelling machines. The machine designed to develop a simple corn sheller for use by farmers in Merauke Regency has a capacity of ± 300 kg/hour. The impact system is used in this shelling machine to reduce the impact on the corn kernels. For this reason, in corn shelling, iron chains are used that can move elastically and flexibly.","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"5 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140673504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, numerous fuzzy time series (FTS) forecasting models have been developed to address complex and incomplete problems. However, the accuracy of these models is specific to the problem at hand and varies across datasets. Despite claims of superiority over traditional statistical and single machine learning-based models, achieving improved forecasting accuracy remains a formidable challenge. In FTS models, the lengths of intervals and fuzzy relationship groups are considered crucial factors influencing forecasting accuracy. Hence, this study introduces an FTS forecasting model based on the graph-based clustering technique. The clustering algorithm, utilized during the fuzzification stage, enables the derivation of unequal interval lengths. The proposed model is applied to forecast two numerical datasets: enrollment data from the University of Alabama and the datasets of Gas prices RON95 in Vietnam. Comparisons of forecasting results between the proposed model and others are conducted for enrollment forecasts at the University of Alabama. The findings reveal that the proposed model achieves higher forecasting accuracy across all orders of fuzzy relationships when compared to its counterparts
{"title":"Minimizing of Forecasting Error in Fuzzy Time Series Model Using Graph-Based Clustering Method","authors":"N. T. Hai Yen","doi":"10.47191/etj/v9i04.10","DOIUrl":"https://doi.org/10.47191/etj/v9i04.10","url":null,"abstract":"In recent years, numerous fuzzy time series (FTS) forecasting models have been developed to address complex and incomplete problems. However, the accuracy of these models is specific to the problem at hand and varies across datasets. Despite claims of superiority over traditional statistical and single machine learning-based models, achieving improved forecasting accuracy remains a formidable challenge. In FTS models, the lengths of intervals and fuzzy relationship groups are considered crucial factors influencing forecasting accuracy. Hence, this study introduces an FTS forecasting model based on the graph-based clustering technique. The clustering algorithm, utilized during the fuzzification stage, enables the derivation of unequal interval lengths. The proposed model is applied to forecast two numerical datasets: enrollment data from the University of Alabama and the datasets of Gas prices RON95 in Vietnam. Comparisons of forecasting results between the proposed model and others are conducted for enrollment forecasts at the University of Alabama. The findings reveal that the proposed model achieves higher forecasting accuracy across all orders of fuzzy relationships when compared to its counterparts","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"35 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140674361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wire ropes are crucial load-bearing components in mining conveyance equipment, and machine vision is one of the methods used to assess the surface damage condition of wire ropes. In response to the light-sensitive nature of local binary patterns, which leads to issues such as differing feature values for similar textures and susceptibility to the influence of excessively large or small pixels within local windows, hindering the accurate reflection of window structure information and exacerbating the introduction of considerable feature noise, an investigation is conducted. To enhance the gradient structural information among pixels within local pixel window, an adaptive threshold binary pattern feature operator is proposed. This operator utilizes the mean and variance within the local window to balance the central pixel value, thereby enhancing the interconnection among neighboring pixels. To perform feature selection on block histograms, a block-weighted approach is employed. This approach utilizes the concept of block weighting and employs correlation coefficients to preprocess feature vectors, thereby enhancing classification accuracy. The algorithm experiments were conducted on a dataset of mine wire ropes. The results indicate that the improved local binary pattern significantly enhances the classification accuracy of the wire rope dataset, achieving an accuracy of 97.3%.
{"title":"Adaptive Threshold and Weighted Frequency Domain Histogram of Local Binary Patterns","authors":"Tang Qi, Haixing Wang, Qunpo Liu","doi":"10.47191/etj/v9i04.09","DOIUrl":"https://doi.org/10.47191/etj/v9i04.09","url":null,"abstract":"Wire ropes are crucial load-bearing components in mining conveyance equipment, and machine vision is one of the methods used to assess the surface damage condition of wire ropes. In response to the light-sensitive nature of local binary patterns, which leads to issues such as differing feature values for similar textures and susceptibility to the influence of excessively large or small pixels within local windows, hindering the accurate reflection of window structure information and exacerbating the introduction of considerable feature noise, an investigation is conducted. To enhance the gradient structural information among pixels within local pixel window, an adaptive threshold binary pattern feature operator is proposed. This operator utilizes the mean and variance within the local window to balance the central pixel value, thereby enhancing the interconnection among neighboring pixels. To perform feature selection on block histograms, a block-weighted approach is employed. This approach utilizes the concept of block weighting and employs correlation coefficients to preprocess feature vectors, thereby enhancing classification accuracy. The algorithm experiments were conducted on a dataset of mine wire ropes. The results indicate that the improved local binary pattern significantly enhances the classification accuracy of the wire rope dataset, achieving an accuracy of 97.3%.","PeriodicalId":11630,"journal":{"name":"Engineering and Technology Journal","volume":"7 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140674320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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